• Bioinformatics Analyst III

    Job ID
    Developmental Neurobiology
    Job Location
  • Overview

    As a Bioinformatics Analyst III, you are responsible for independent basic and advanced analysis on biomedical data produced from a variety of biotechnology platforms including microarrays, next generation sequencing systems, scientific imaging and tandem mass spectrometry for proteomics. You will design, develop, improve, modify, and operate data analysis pipelines. Other responsibilities include:

    • Develop bioinformatics pipelines or use advanced software packages (e.g. extant) in conducting data analysis for biomedical datasets.
    • Work closely with experimental researchers to understand analytical needs, provide technical consultation, design analytical approaches, generate/provide analysis results and reports, project reports and perform requested custom analyses.
    • Independently perform post-processing statistical analysis of results and interpret results.
    • Contribute to the evaluation and recommendation of new software tools to meet the growing needs of the research community at SJCRH.
    • Design and prepare materials for training lab scientists on software usage and data analysis techniques.
    • Manage projects and coordinate other efforts related to analysis and infrastructure as directed.

    Take the first step to join our team by applying now!

    Minimum Education

    • Bachelor's degree is required.
    • Master's degree or PHD is preferred

    Minimum Experience

    • Eight (8) years of relevant experience is required with a Bachelor's degree.
    • Four (4) years of relevant experience may be acceptable with a Master's degree.
    • No experience may be acceptable with a PHD in Computer Science or Bioinformatics, with a background in the biological sciences.
    • Experience in programming (Python, Java, C/C++, perl or other programming/scripting languages) under linux/unix environment is required. Experience with and the ability to deal with a wide range of users is required. Experience of independent data analyses and project management is required. End user support and training experience is required
    • Experience with open source software development preferred. Experience in development of algorithms, statistical methods or scientific software preferred. Experience in next-generation sequence analysis or imaging analysis is preferred. Experience in working with high-throughput data sets in a highly competitive environment is preferred. Experience in working in a team project is preferred. Cross training in biological sciences (e.g. genomics, genetics, transcriptomics and epigenetics) preferred Scripting experience using a statistics package such as R, S-Plus or SAS preferred.








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    St. Jude is an Equal Opportunity Employer

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